Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
Based at Harvard University, the Doyle group is comprised of a diverse group of researchers, coming from backgrounds such as computer science, biology, and chemical engineering. Contact us to inquire about open positions.
Using Iterative Learning for Insulin Dosage Optimization in Multiple-Daily-Injections Therapy for People with Type 1 Diabetes
M. Cescon, S. Deshpande, R. Nimri, F. J. Doyle III, & E. Dassau. IEEE Transactions on Biomedical Engineering, 2020.
Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors
Katharina Schultebraucks, Meng Qian, Duna Abu-Amara, Kelsey Dean, Eugene Laska, Carole Siegel, Aarti Gautam, Guia Guffanti, Rasha Hammamieh, Burook Misganaw, Synthia H. Mellon, Owen M. Wolkowitz, Esther M. Blessing, Amit Etkin, Kerry J. Ressler, Francis J. Doyle III, Marti Jett, & Charles R. Marmar, Molecular Psychiatry, 2020.
Sue A. Brown, Roy W. Beck, Dan Raghinaru, Bruce A. Buckingham, Lori M. Laffel, R. Paul Wadwa, Yogish C. Kudva, Carol J. Levy, Jordan E. Pinsker, Eyal Dassau, Francis J. Doyle, Louise Ambler-Osborn, Stacey M. Anderson, Mei Mei Church, Laya Ekhlaspour, Gregory P. Forlenza, Camilla Levister, Vinaya Simha, Marc D. Breton, Craig Kollman, John W. Lum, Boris P. Kovatchev, for the iDCL Trial Research Group. Diabetes Care, 2020.